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入侵生物学创新整合框架用于主动管理。

A framework to integrate innovations in invasion science for proactive management.

机构信息

Flathead Lake Biological Station, University of Montana, 32125 Bio Station Lane, Polson, MT, 59860, U.S.A.

Numerical Terradynamic Simulation Group, University of Montana, ISB 415, Missoula, MT, 59812, U.S.A.

出版信息

Biol Rev Camb Philos Soc. 2022 Aug;97(4):1712-1735. doi: 10.1111/brv.12859. Epub 2022 Apr 22.

Abstract

Invasive alien species (IAS) are a rising threat to biodiversity, national security, and regional economies, with impacts in the hundreds of billions of U.S. dollars annually. Proactive or predictive approaches guided by scientific knowledge are essential to keeping pace with growing impacts of invasions under climate change. Although the rapid development of diverse technologies and approaches has produced tools with the potential to greatly accelerate invasion research and management, innovation has far outpaced implementation and coordination. Technological and methodological syntheses are urgently needed to close the growing implementation gap and facilitate interdisciplinary collaboration and synergy among evolving disciplines. A broad review is necessary to demonstrate the utility and relevance of work in diverse fields to generate actionable science for the ongoing invasion crisis. Here, we review such advances in relevant fields including remote sensing, epidemiology, big data analytics, environmental DNA (eDNA) sampling, genomics, and others, and present a generalized framework for distilling existing and emerging data into products for proactive IAS research and management. This integrated workflow provides a pathway for scientists and practitioners in diverse disciplines to contribute to applied invasion biology in a coordinated, synergistic, and scalable manner.

摘要

入侵的外来物种(IAS)对生物多样性、国家安全和区域经济构成了日益严重的威胁,每年造成的损失达数千亿美元。在气候变化下,为了应对入侵造成的影响不断扩大,必须采用以科学知识为指导的主动或预测性方法。尽管多样化技术和方法的快速发展已经产生了具有极大加速入侵研究和管理潜力的工具,但创新远远超过了实施和协调的速度。迫切需要进行技术和方法学的综合,以缩小日益扩大的实施差距,并促进不断发展的学科之间的跨学科合作和协同增效。需要进行广泛的审查,以展示不同领域工作的实用性和相关性,为当前的入侵危机提供可行的科学依据。在这里,我们回顾了相关领域的这些进展,包括遥感、流行病学、大数据分析、环境 DNA(eDNA)采样、基因组学等,并提出了一个将现有和新兴数据提炼为主动 IAS 研究和管理产品的通用框架。这个综合工作流程为不同学科的科学家和从业人员提供了一种以协调、协同和可扩展的方式为应用入侵生物学做出贡献的途径。

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